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Senior Data Engineer designing and building cloud-native data platforms and ETL/ELT pipelines to power enterprise AI/ML solutions across manufacturing, supply chain and finance at a global electrification company, using Python, SQL, Databricks, Spark and cloud platforms.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Location: San Francisco, California or Seattle, Washington Employment Type: Full time, Hybrid About the Team The Machine Learning team — internally known as "Potato Radius" — builds the training pipelines,…
Build data pipelines, develop ML models, and deploy production solutions for retail forecasting, inventory, and ecommerce in an on-site role collaborating with cross-functional teams.
Hands-on Data Engineer building scalable data pipelines and ML models on Google Cloud (BigQuery, Vertex AI) to solve demand forecasting, inventory optimisation and marketing attribution problems for an Australian outdoor retail company — fully on-site in Sydney.
In this position... Ford is strengthening its core Functional Safety capability to support the development of complex, software-enabled vehicle technologies. These technologies span motion control, brakes, steering,…
Build and maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
If you're ready to join a team of talented developers, you belong here. We are seeking Data Engineers to join our Software + Solutions Developer team and work with subject matter experts to develop, construct, and…
Lead Data Scientist building end-to-end ML models for marketing targeting and customer outcomes at a lending company, using Python and SQL.
Design AI-ready data representations for biological imaging, guiding how frontier models learn from raw images and other modalities to accelerate disease research.
Data Analyst builds and maintains BigQuery datasets and Python pipelines to automate inventory, demand, and forecasting analytics for an e-commerce company.
Develops and maintains large-scale data infrastructure for Google Ads’ location-based and call ads, leveraging AI to enhance local business data and ad targeting across Search, Display, YouTube, and Maps.
Data Scientist turning complex consumer and business data into ML models, analytical solutions, and data products in a cloud-based ecosystem, collaborating with product, engineering, and business teams.
Software Architect leading the architecture of telco protocol decoding, data correlation, and enrichment platforms for Infovista's VistaView products, working with C++, 3GPP protocols (Diameter, GTP, 5G SBI, IMS/VoLTE/VoNR), and large-scale data processing systems.
Operationalize and deploy ML/AI models on Google Cloud Platform using Vertex AI, building end-to-end pipelines and infrastructure for automated, scalable model production.
Команда AVO SERVICES AND TECHNOLOGY создает новый технологичный розничный банк на рынке Узбекистана . Основная концепция сервиса - клиент самостоятельно может получить все услуги банка через мобильное приложение и…
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